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Model-based Policy Optimization with Unsupervised Model Adaptation

Oct 28, 2020
Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

Oct 12, 2020
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao

* Preprint 

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Graph Adversarial Networks: Protecting Information against Adversarial Attacks

Oct 07, 2020
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

* Our code is available at https://github.com/liaopeiyuan/GAL 

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DynamicVAE: Decoupling Reconstruction Error and Disentangled Representation Learning

Sep 30, 2020
Huajie Shao, Haohong Lin, Qinmin Yang, Shuochao Yao, Han Zhao, Tarek Abdelzaher


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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Sep 19, 2020
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer


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On Learning Language-Invariant Representations for Universal Machine Translation

Aug 11, 2020
Han Zhao, Junjie Hu, Andrej Risteski

* Appeared in ICML 2020 

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Neural Methods for Point-wise Dependency Estimation

Jun 11, 2020
Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov


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Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Mar 10, 2020
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoff Gordon


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Continual Learning with Adaptive Weights (CLAW)

Nov 21, 2019
Tameem Adel, Han Zhao, Richard E. Turner


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Conditional Learning of Fair Representations

Oct 16, 2019
Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon


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Learning Neural Networks with Adaptive Regularization

Jul 14, 2019
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon


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Inherent Tradeoffs in Learning Fair Representation

Jun 19, 2019
Han Zhao, Geoffrey J. Gordon


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Adversarial Task-Specific Privacy Preservation under Attribute Attack

Jun 19, 2019
Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon


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On Learning Invariant Representation for Domain Adaptation

Jan 27, 2019
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon


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Efficient Multitask Feature and Relationship Learning

Sep 16, 2018
Han Zhao, Otilia Stretcu, Alex Smola, Geoff Gordon


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Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint

Jun 26, 2018
Han Zhao, Geoff Gordon

* In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018 

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On Strategyproof Conference Peer Review

Jun 16, 2018
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah


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Convolutional-Recurrent Neural Networks for Speech Enhancement

May 02, 2018
Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee

* ICASSP 2018 

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Discovering Order in Unordered Datasets: Generative Markov Networks

Feb 15, 2018
Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov, Nebojsa Jojic


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Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations

Jan 19, 2018
Chen Liang, Jianbo Ye, Han Zhao, Bart Pursel, C. Lee Giles

* 12 pages 

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Linear Time Computation of Moments in Sum-Product Networks

Nov 05, 2017
Han Zhao, Geoff Gordon


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Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

Oct 27, 2017
Han Zhao, Shanghang Zhang, Guanhang Wu, João P. Costeira, José M. F. Moura, Geoffrey J. Gordon


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Principled Hybrids of Generative and Discriminative Domain Adaptation

Oct 27, 2017
Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoff Gordon


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A Unified Approach for Learning the Parameters of Sum-Product Networks

Aug 26, 2016
Han Zhao, Pascal Poupart, Geoff Gordon

* NIPS 2016 

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On the Relationship between Sum-Product Networks and Bayesian Networks

Apr 30, 2015
Han Zhao, Mazen Melibari, Pascal Poupart

* Full version of the same paper to appear at ICML-2015 

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